Marcom retweeted
Thị trường NFT thường giả định mọi chiếc trong cùng một collection là gần như thay thế được cho nhau
Với @hoodminers_rh thì giả định đó dần bị phá. Mỗi rig mang theo một ví riêng, và những gì nó đã kiếm (Bitcoin hay tài sản khác) nằm đúng trong ví đó. Khi lịch sử tích lũy chứ không phải bắt đầu lại từ đầu. Hai chiếc cùng grade có thể khác nhau rất nhiều chỉ vì một cái đã chạy nhiều epoch, cái kia vừa mới bật.
Việc merge làm khoảng cách này dễ nới rộng hơn. Mỗi lần gộp, một rig biến mất vĩnh viễn, supply chỉ giảm. Số lượng đơn vị sản xuất ít đi, trong khi những cái còn lại vừa mạnh hơn vừa mang theo balance sheet riêng.
Floor price lúc này chỉ còn là mức tham chiếu bề mặt. Người muốn mua nghiêm túc sẽ phải nhìn vào từng ví, giống như đánh giá một doanh nghiệp nhỏ hơn là chọn theo rarity chung.
Hood Launcher đẩy logic tương tự sang phía token. Toàn bộ supply được đưa vào pool trong một giao dịch duy nhất, và hợp đồng giữ thanh khoản không có hàm rút. Không phải “đã renounce”, mà là không còn đường nào để rút. Không có cửa sổ, không có quyền lựa chọn sau. Thanh khoản tồn tại vì code không cho phép nó biến mất.
Hai cơ chế này cùng làm một việc: buộc giá trị phải dựa vào những gì đã tồn tại và không thể bị lấy đi, thay vì dựa vào lời hứa tương lai. Collection co lại theo thời gian, mỗi rig mang lịch sử riêng, còn launch mới thì thanh khoản bị khóa ở mức không thể rút.
Trên Robinhood Chain, kiểu sở hữu này làm cho “cầm gì trong tay” trở nên cụ thể hơn nhiều so với đa số NFT khác.
Với @hoodminers_rh thì giả định đó dần bị phá. Mỗi rig mang theo một ví riêng, và những gì nó đã kiếm (Bitcoin hay tài sản khác) nằm đúng trong ví đó. Khi lịch sử tích lũy chứ không phải bắt đầu lại từ đầu. Hai chiếc cùng grade có thể khác nhau rất nhiều chỉ vì một cái đã chạy nhiều epoch, cái kia vừa mới bật.
Việc merge làm khoảng cách này dễ nới rộng hơn. Mỗi lần gộp, một rig biến mất vĩnh viễn, supply chỉ giảm. Số lượng đơn vị sản xuất ít đi, trong khi những cái còn lại vừa mạnh hơn vừa mang theo balance sheet riêng.
Floor price lúc này chỉ còn là mức tham chiếu bề mặt. Người muốn mua nghiêm túc sẽ phải nhìn vào từng ví, giống như đánh giá một doanh nghiệp nhỏ hơn là chọn theo rarity chung.
Hood Launcher đẩy logic tương tự sang phía token. Toàn bộ supply được đưa vào pool trong một giao dịch duy nhất, và hợp đồng giữ thanh khoản không có hàm rút. Không phải “đã renounce”, mà là không còn đường nào để rút. Không có cửa sổ, không có quyền lựa chọn sau. Thanh khoản tồn tại vì code không cho phép nó biến mất.
Hai cơ chế này cùng làm một việc: buộc giá trị phải dựa vào những gì đã tồn tại và không thể bị lấy đi, thay vì dựa vào lời hứa tương lai. Collection co lại theo thời gian, mỗi rig mang lịch sử riêng, còn launch mới thì thanh khoản bị khóa ở mức không thể rút.
Trên Robinhood Chain, kiểu sở hữu này làm cho “cầm gì trong tay” trở nên cụ thể hơn nhiều so với đa số NFT khác.
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Marcom retweeted
SEVENTEEN's S.COUPS picked the right game for his first ceremonial pitch.
🇰🇷 KBO Korean Series, Game 5 in Daegu:
✸ 1st pitch since his 2015 debut
✸ ~23,550 fans in his hometown
✸ 12-1 win for the Samsung Lions
Samsung clinched the title 4-1, ending a 12-year drought.
Afterward, he held 8-month-old fan Junwoo in a suite during the baby's first game.
Waiting ~2.5 years for the invite paid off on championship day.
🇰🇷 KBO Korean Series, Game 5 in Daegu:
✸ 1st pitch since his 2015 debut
✸ ~23,550 fans in his hometown
✸ 12-1 win for the Samsung Lions
Samsung clinched the title 4-1, ending a 12-year drought.
Afterward, he held 8-month-old fan Junwoo in a suite during the baby's first game.
Waiting ~2.5 years for the invite paid off on championship day.
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Marcom retweeted
Following the recent FinCEN order designating MEXC as a primary money laundering concern over alleged illicit flows, major infrastructure providers are preemptively cutting ties.
@binance has officially announced it will no longer process transactions involving MEXC and related just about one exchange getting isolated from traditional banking rails. When structural liquidity nodes start severing ties to avoid secondary enforcement, capital velocity changes overnight. Onchain data shows heightened outflows from secondary venues as market makers reevaluate operational risks, accelerating a migration toward tightly regulated venues with robust compliance frameworks.If you are still leaving working capital on unverified offshore platforms to farm lowcap liquidity, you are ignoring the writing on the wall.
@binance has officially announced it will no longer process transactions involving MEXC and related just about one exchange getting isolated from traditional banking rails. When structural liquidity nodes start severing ties to avoid secondary enforcement, capital velocity changes overnight. Onchain data shows heightened outflows from secondary venues as market makers reevaluate operational risks, accelerating a migration toward tightly regulated venues with robust compliance frameworks.If you are still leaving working capital on unverified offshore platforms to farm lowcap liquidity, you are ignoring the writing on the wall.
DeFi has quietly transitioned from speculative yield farming to a high margin cash flow machine.
Most market participants are still pricing governance tokens like vaporware.
Look at the current underlying fundamentals across the sector:
+ Total Monthly DeFi Fees: $2.27B
+ ue: $1.13B captured directly by the top 30 protocols over the last 30 days
+ Net Take Rate: Roughly 50% of gross user service charges flow straight to DAOs, treasuries, and stakers as net profit
Standard Chartered forecasts DeFi TVL to hit $2.70T by 2030, representing a 37x surge from current levels.
However, revenue alone is a trap if tokenomics are predatory. High cash flow means nothing if insiders are dumping monthly supply unlocks on retail buyers.That filters the entire sector down to 4 core cash flow anchors: ethereum:0x7fc66500c84a76ad7e9c93437bfc5ac33e2ddae9 , ethereum:0x56072c95faa701256059aa122697b133aded9279 , hyperliquid:native , and ethereum:0x1f9840a85d5af5bf1d1762f925bdaddc4201f984 .
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Marcom retweeted
ETH Foundation is moving coins to exchanges again!
After two weeks of silence, a wallet linked to the Ethereum Foundation has transferred another 1,000 $ETH (~$2.2M) to an exchange.
Notably, since its last major transfer two weeks ago, ETH has dropped another 7.7%.
This marks et has become active, and each time, the market has followed with a decline shortly afterward.
Will history repeat itself this time?
After two weeks of silence, a wallet linked to the Ethereum Foundation has transferred another 1,000 $ETH (~$2.2M) to an exchange.
Notably, since its last major transfer two weeks ago, ETH has dropped another 7.7%.
This marks et has become active, and each time, the market has followed with a decline shortly afterward.
Will history repeat itself this time?
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seen this movie beforei checked the same pdf yesterday
I pulled the actual clerk sheet and they have counted barely 1,800 ballots so far.
Building entire statewide victory laps off one tiny suburban batch reminds me why almost everyone is terrible at stats.
x.com/DavideZ1911/st…
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Marcom retweeted
In Web3, consistency matters, but quality makes the difference. 💜
That's something I appreciate about the creator campaign from @VelixoMarket.
Instead of simply flooding the timeline with content, creators have an opportunity to stand out through original posts and meaningful building its creator ecosystem on Fogo and Robinhood Chain, bringing more attention to the connection between content, communities, and onchain opportunities.
My approach is simple:
Create something original.
Share real thoughts.
Keep building.
The best communities grow together. 🚀
Let's keep building with Velixo!
$VLX #Velixo #Fogo #Web3
That's something I appreciate about the creator campaign from @VelixoMarket.
Instead of simply flooding the timeline with content, creators have an opportunity to stand out through original posts and meaningful building its creator ecosystem on Fogo and Robinhood Chain, bringing more attention to the connection between content, communities, and onchain opportunities.
My approach is simple:
Create something original.
Share real thoughts.
Keep building.
The best communities grow together. 🚀
Let's keep building with Velixo!
$VLX #Velixo #Fogo #Web3
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Marcom retweeted
Bought or examined. Pretty much every online metric fits into one of those two boxes
Likes and follower totals often belong to the first, says @TheDAOLabs, while research and clear explainers belong to the second. Guess which one the #DAOVERSE pays Social Miners for
Likes and follower totals often belong to the first, says @TheDAOLabs, while research and clear explainers belong to the second. Guess which one the #DAOVERSE pays Social Miners for
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop.
Real contribution looks different. It shows up in original research, clear y participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review.
One can be bought. The other can be examined.
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Marcom retweeted
Quick question for anyone who has run a campaign: how many of those likes were still around a month later?
This new post calls that fading activity ghost metrics and argues real contribution is the kind other people can check. Research, explainers, consistently showing up. In #SocialMining, Rewards from @TheDAOLabs follow work that passes review, which feels like the right incentive
This new post calls that fading activity ghost metrics and argues real contribution is the kind other people can check. Research, explainers, consistently showing up. In #SocialMining, Rewards from @TheDAOLabs follow work that passes review, which feels like the right incentive
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop.
Real contribution looks different. It shows up in original research, clear y participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review.
One can be bought. The other can be examined.
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Marcom retweeted
Three inseparable pillars
Token architecture, business development and marketing are not three independent activities. They are three aspects of the same problem: how to make a tokenized business create sustainable value and be trusted by the community.
Business development here are we going and how to create value". Token architecture replied "how will token support that journey". Marketing answered "how to make relevant people understand, believe and participate". If one of the three is missing, the model is easy to become skewed.
Many teams spend so much time on tokenomics that they neglect to clarify the business model. As a result, the token looks attractive but has no actual foundation to rely on. On the contrary, there are businesses that have a clear commercial direction but the token design does not match, leading to difficult operation and communication.
@TheDAOLabs clearly identifies these three areas in the consulting service for tokenized businesses. The relationship between them needs to be considered in parallel from the beginning. A token design is only really reasonable when it properly serves the enterprise to create value, serve participants and manage operations.
No function can completely replace the other functions. Good tokens start from good businesses. And a good business needs to be clearly communicated so that the relevant people understand and trust.
Starting from business logic will make everything behind much easier.
#SocialMining
#BusinessDevelopment #TokenArchitecture #Marketing #DAOLabs #Web3
Token architecture, business development and marketing are not three independent activities. They are three aspects of the same problem: how to make a tokenized business create sustainable value and be trusted by the community.
Business development here are we going and how to create value". Token architecture replied "how will token support that journey". Marketing answered "how to make relevant people understand, believe and participate". If one of the three is missing, the model is easy to become skewed.
Many teams spend so much time on tokenomics that they neglect to clarify the business model. As a result, the token looks attractive but has no actual foundation to rely on. On the contrary, there are businesses that have a clear commercial direction but the token design does not match, leading to difficult operation and communication.
@TheDAOLabs clearly identifies these three areas in the consulting service for tokenized businesses. The relationship between them needs to be considered in parallel from the beginning. A token design is only really reasonable when it properly serves the enterprise to create value, serve participants and manage operations.
No function can completely replace the other functions. Good tokens start from good businesses. And a good business needs to be clearly communicated so that the relevant people understand and trust.
Starting from business logic will make everything behind much easier.
#SocialMining
#BusinessDevelopment #TokenArchitecture #Marketing #DAOLabs #Web3
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Marcom retweeted
Generated text is now cheap enough that a single person can run dozens of accounts that never sleep. Likes, follows and replies can all be produced by machines at scale, which makes the old measures of influence weaker every month
This clip from @TheDAOLabs reads like a response to that world. Ghost metrics, as it calls them, are the low effort or automated signals that look like attention but vanish once the incentives are gone. Noise dressed as reach
What a machine farm cannot easily fake is a body of work that other people inspect and find solid. Original research with sources, explanations that let a complex idea click, participation that is consistent over time. WhoTweets gives that reputation weight next to volume, while Social Miners are rewarded only after review, so a human with judgment has an edge over a script with stamina
That edge is worth protecting, and #SocialMining is one of the few places actually designed around it
This clip from @TheDAOLabs reads like a response to that world. Ghost metrics, as it calls them, are the low effort or automated signals that look like attention but vanish once the incentives are gone. Noise dressed as reach
What a machine farm cannot easily fake is a body of work that other people inspect and find solid. Original research with sources, explanations that let a complex idea click, participation that is consistent over time. WhoTweets gives that reputation weight next to volume, while Social Miners are rewarded only after review, so a human with judgment has an edge over a script with stamina
That edge is worth protecting, and #SocialMining is one of the few places actually designed around it
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop.
Real contribution looks different. It shows up in original research, clear y participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review.
One can be bought. The other can be examined.
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Marcom retweeted
Sybil resistance is usually discussed for airdrops, but the same problem sits inside every engagement metric. If a signal is cheap to produce and the reward is attached to raw counts, someone will automate it. Likes, follows and generic replies are the easiest targets, and they are exactly the numbers most platforms still treat as influence
The @TheDAOLabs clip calls the result ghost metrics. They exist only while the incentive does, a decent tell they were never organic. The interesting part is the counter design. Instead of trying to detect every fake, WhoTweets tracks reputation on top of activity, so the weight of a contribution depends on its quality and history, not just how many times it happened
Add a review step before Rewards are paid and the attack surface shrinks further. A script can generate volume, but it struggles to produce original research that other people check and accept
No shield is perfect. Still, pairing reputation with human review is one of the more practical answers out there, and it fits how #SocialMining is supposed to work
The @TheDAOLabs clip calls the result ghost metrics. They exist only while the incentive does, a decent tell they were never organic. The interesting part is the counter design. Instead of trying to detect every fake, WhoTweets tracks reputation on top of activity, so the weight of a contribution depends on its quality and history, not just how many times it happened
Add a review step before Rewards are paid and the attack surface shrinks further. A script can generate volume, but it struggles to produce original research that other people check and accept
No shield is perfect. Still, pairing reputation with human review is one of the more practical answers out there, and it fits how #SocialMining is supposed to work
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop.
Real contribution looks different. It shows up in original research, clear y participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review.
One can be bought. The other can be examined.
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Marcom retweeted
Collection Offers Change the Trading Conversation
NFT trading doesn't always begin with someone choosing a specific asset.
Sometimes a collector is interested in an entire collection but wants to buy at a particular price.
@VelixoMarket includes collection offers as part of its marketplace functionality.
This creates an interesting alternative to browsing individual listings and waiting for a suitable opportunity.
Collection-level offers can help buyers communicate demand more broadly.
For sellers, they may provide another way to identify interested participants.
But the effectiveness of this feature depends on real marketplace activity.
An offer mechanism doesn't automatically guarantee liquidity or favorable prices.
I believe the important question is whether these tools reduce friction between buyers and sellers.
NFT marketplaces should evolve beyond simply displaying available assets.
They should help participants express interest, compare opportunities, and interact more efficiently.
Better trading infrastructure doesn't eliminate market risk.
It makes the process of participating more practical.
NFT trading doesn't always begin with someone choosing a specific asset.
Sometimes a collector is interested in an entire collection but wants to buy at a particular price.
@VelixoMarket includes collection offers as part of its marketplace functionality.
This creates an interesting alternative to browsing individual listings and waiting for a suitable opportunity.
Collection-level offers can help buyers communicate demand more broadly.
For sellers, they may provide another way to identify interested participants.
But the effectiveness of this feature depends on real marketplace activity.
An offer mechanism doesn't automatically guarantee liquidity or favorable prices.
I believe the important question is whether these tools reduce friction between buyers and sellers.
NFT marketplaces should evolve beyond simply displaying available assets.
They should help participants express interest, compare opportunities, and interact more efficiently.
Better trading infrastructure doesn't eliminate market risk.
It makes the process of participating more practical.
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Marketers have known for years that vanity numbers make nice slides and weak decisions. A follower spike looks great in a report, but if it was automated or farmed, it tells you nothing about who will stay
What I like in this clip is the alternative @TheDAOLabs offers. Instead of counting the crowd, look at what people produced: research, guides, consistent participation that can be checked. WhoTweets combines reputation with volume, so quality has real weight in #SocialMining
For brands working in the #DAOVERSE, that is a far better signal to plan around
What I like in this clip is the alternative @TheDAOLabs offers. Instead of counting the crowd, look at what people produced: research, guides, consistent participation that can be checked. WhoTweets combines reputation with volume, so quality has real weight in #SocialMining
For brands working in the #DAOVERSE, that is a far better signal to plan around
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop.
Real contribution looks different. It shows up in original research, clear y participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review.
One can be bought. The other can be examined.
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Marcom retweeted
Liquidity Is a Marketplace Challenge
@VelixoMarket reminds me that NFT liquidity is fundamentally different from simply listing assets.
A marketplace can display many collections while still having limited trading activity.
For buyers, liquidity affects the ability to find suitable opportunities.
For sellers, it influences whether interested participants are available.
Marketplace tools can help coordinate these interactions, but they cannot manufacture genuine demand.
I believe the strongest NFT platforms will focus on improving the relationship between discovery, pricing, and participation.
Listings create inventory.
Active buyers and sellers create a marketplace.
@VelixoMarket reminds me that NFT liquidity is fundamentally different from simply listing assets.
A marketplace can display many collections while still having limited trading activity.
For buyers, liquidity affects the ability to find suitable opportunities.
For sellers, it influences whether interested participants are available.
Marketplace tools can help coordinate these interactions, but they cannot manufacture genuine demand.
I believe the strongest NFT platforms will focus on improving the relationship between discovery, pricing, and participation.
Listings create inventory.
Active buyers and sellers create a marketplace.
The Next NFT Opportunity Isn't Just About New Collections
NFT marketplaces have spent years competing for trading volume, but I believe the next stage of growth will depend on something more important: making NFT discovery and participation easier across different ecosystems.
et has caught my attention.
Velixo is building a multi-chain NFT marketplace experience around Fogo and Robinhood Chain, bringing collection discovery, NFT listings, and trading tools into a broader environment.
What interests me most is the relationship between accessibility and liquidity.
A marketplace can attract attention through new collections, but long-term activity depends on whether buyers can discover opportunities, sellers can reach interested participants, and communities have reasons to remain active.
Features like collection offers can help make the trading experience more flexible, while the Creators Leaderboard introduces another dimension: encouraging people to research, discuss, and share insights about the ecosystem.
However, incentives alone cannot create sustainable demand.
The real challenge for @VelixoMarket is turning initial curiosity into repeated marketplace activity.
Can users discover valuable collections more efficiently?
Can creators contribute meaningful information rather than repetitive promotion?
Can the platform build an experience that people continue using beyond individual campaigns?
These are the questions I'm watching.
The future of NFT marketplaces won't be decided by how many collections they list, but by how effectively they connect discovery, liquidity, and genuine community participation.
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Most AI policy talk boils down to a short menu, and this article lays it out clearly enough to use as a study sheet:
Pause training everywhere, the route Connor Leahy and others favour
License compute so only approved players can train big models
Open the weights and verify behaviour in public
The author's case against the first two is practical rather than ideological. A pause only holds if every country and company joins, and the careful ones are usually the first to comply. Licensing sounds orderly, yet compliance costs fall hardest on small labs and independent researchers, which can leave the largest companies with a protected moat
The third option is the one @TheDAOLabs backs, pairing transparent models with people who review outputs, and in practice that looks a lot like Workdrops and #SocialMining rounds. Whatever you think of the conclusion, the menu itself is worth memorising
Pause training everywhere, the route Connor Leahy and others favour
License compute so only approved players can train big models
Open the weights and verify behaviour in public
The author's case against the first two is practical rather than ideological. A pause only holds if every country and company joins, and the careful ones are usually the first to comply. Licensing sounds orderly, yet compliance costs fall hardest on small labs and independent researchers, which can leave the largest companies with a protected moat
The third option is the one @TheDAOLabs backs, pairing transparent models with people who review outputs, and in practice that looks a lot like Workdrops and #SocialMining rounds. Whatever you think of the conclusion, the menu itself is worth memorising
Traditional code was written line by line; if it broke, you fixed the logic.
Modern AI isn’t coded—it’s grown.
As @NPCollapse warns, nobody truly understands the internal math of multi-trillion-parameter models. When opaque black boxes optimize purely for rewards, they drift ption, and human disempowerment.
Top-down compute pauses and state licensing won’t save us—they just protect corporate monopolies.
The real defense? Permissionless open-weights models governed by decentralized, human-in-the-loop consensus. Through Workdrops and community validation, Social Mining keeps human judgment firmly in control.
Full breakdown in our blog. Check BIO.
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Worth teaching this as two games. In the software game, the best model wins customers. In the infrastructure game, everyone pays to reach those customers, through distribution apps, payment gateways, energy grids and supply lines
The breakdown from @TheDAOLabs argues AI is turning into the second game. That reframing is the most useful lesson for #SocialMining writers covering AI, and it pairs well with the compute series already on the #DAOVERSE reading list
The breakdown from @TheDAOLabs argues AI is turning into the second game. That reframing is the most useful lesson for #SocialMining writers covering AI, and it pairs well with the compute series already on the #DAOVERSE reading list
Every watershed shift in tech began with a low-key PDF — from Bitcoin in 2008 to Transformers in 2017.
Now, a new manifesto is shaking the market: "The Commanding Heights" by @WillManidis.
Are frontier AI labs walking into the Gutenberg Trap while durable wealth settles in nts?
Read our breakdown on the DAO Labs blog. Check our BIO.
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